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Ops rca hypothesis generator

Skill sisodiabhumca/agent-skills/skills/ops-rca-hypothesis-generator

Production-Ready Agent Skills : product analytics, growth experiments, CRM, research synthesis, postmortems, data contracts, SaaS spend, compliance, architecture maps, and LLM eval and many more.

Install
npx -y skills add sisodiabhumca/agent-skills --skill ops-rca-hypothesis-generator

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Generates vendor-neutral root-cause-analysis (RCA) hypotheses from incident symptoms and recent changes, producing a prioritized investigation plan.

SKILL.md

1.4 KB, as published. Nobody here has run it

When to invoke

  • After an outage/incident when you have symptoms and a change log but no confirmed cause.
  • You want a structured, testable list of hypotheses with next steps.

Inputs needed

  • --incident: JSON describing impact window, symptoms, and affected components.
  • --changes: JSON list of recent changes (deploys, config, infra).
  • Optional: --out: Path to write hypotheses JSON.

Workflow

  1. Load incident and change entries.
  2. Extract keywords from symptoms/components.
  3. Score each change by time proximity and keyword overlap.
  4. Generate hypotheses:
    • “Change X caused symptom Y via mechanism Z”.
  5. For each hypothesis, produce:
    • quick checks (logs/metrics/flags)
    • deeper validation
    • rollback/mitigation options
  6. Output top hypotheses sorted by score.

Output format

JSON with:

  • incident_summary
  • hypotheses: list with rank, score, hypothesis, evidence, next_steps

Guardrails

  • Do not claim certainty; hypotheses must be framed as testable.
  • Avoid blaming individuals; focus on systems.
  • Keep guidance vendor-neutral (no tool-specific commands).

Reference code

Use ops_rca_hypothesis_generator.py.

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